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If two sentences have the same meaning, it should follow that they are equivalent in their inferential properties, i.e., each sentence should textually entail the other.
Inferential role semantics and the analytic/synthetic distinction
Paul A. Boghossian. 1994 · 1994
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Bleu: a method for automatic evaluation of machine translation
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002 · 2002
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The effect of instruction in the paraphrasing strategy on reading fluency and comprehension
Steven Lee and Theresa Colln. 2003 · 2003
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Syntax-based alignment of multiple translations: Extracting paraphrases and generating new sentences
Bo Pang, Kevin Knight, and Daniel Marcu. 2003 · 2003
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Colin Bannard and Chris Callison-Burch. 2005 · 2005
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Automatically constructing a corpus of sentential paraphrases
Bill Dolan and Chris Brockett. 2005 · 2005
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Paraphrase identification by text canonicalization
Yitao Zhang and Jon Patrick. 2005 · 2005
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Improved statistical machine translation using paraphrases
Chris Callison-Burch, Philipp Koehn, and Miles Osborne. 2006 · 2006
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Meaning as an inferential role
Jaroslav Peregrin. 2006 · 2006
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Tom Kocmi, Martin Popel, and Ondrej Bojar. 2020 · 2007
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Samuel Fernando and Mark Stevenson. 2008 · 2008
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The effects of the paraphrasing strategy on the reading comprehension of middle school students at risk for failure in reading
Jessica L. Hagaman and Robert Reid. 2008 · 2008
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Dynamic pooling and unfolding recursive autoencoders for paraphrase detection
Richard Socher, Eric H Huang, Jeffrey Pennin, Christopher D Manning, and Andrew Y Ng. 2011 · 2011
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Squibs: What is a paraphrase?
Rahul Bhagat and Eduard Hovy. 2013 · 2013
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Ppdb: The paraphrase database
Juri Ganitkevitch, Benjamin Van Durme, and Chris Callison-Burch. 2013 · 2013
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Open question answering over curated and extracted knowledge bases
Anthony Fader, Luke Zettlemoyer, and Oren Etzioni. 2014 · 2014
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A large annotated corpus for learning natural language inference
Samuel R. Bowman, Gabor Angeli, Christopher Potts, and Christopher D. Manning. 2015 · 2015
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Ppdb 2.0: Better paraphrase ranking, fine-grained entailment relations, word embeddings, and style classification
Ellie Pavlick, Pushpendre Rastogi, Juri Ganitkevitch, Benjamin Van Durme, and Chris Callison-Burch. 2015 · 2015
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Answering questions with complex semantic constraints on open knowledge bases
Pengcheng Yin, Nan Duan, Ben Kao, Junwei Bao, and Ming Zhou. 2015 · 2015
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Czeng 1.6: enlarged czech-english parallel corpus with processing tools dockered
Ondřej Bojar, Ondřej Dušek, Tom Kocmi, Jindřich Libovickỳ, Michal Novák, Martin Popel, Roman Sudarikov, and Dušan Variš. 2016 · 2016
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Optimal classifier for imbalanced data using matthews correlation coefficient metric
Sabri Boughorbel, Fethi Jarray, and Mohammed El-Anbari. 2017 · 2017
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A continuously growing dataset of sentential paraphrases
Wuwei Lan, Siyu Qiu, Hua He, and Wei Xu. 2017 · 2017
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Automated paraphrase lattice creation for hyter machine translation evaluation
Marianna Apidianaki, Guillaume Wisniewski, Anne Cocos, and Chris Callison-Burch. 2018 · 2018
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Jordan J. Bird, Anikó Ekárt, and Diego R. Faria. 2020 · 2020
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Ronan Le Bras, Swabha Swayamdipta, Chandra Bhagavatula, Rowan Zellers, Matthew E. Peters, Ashish Sabharwal, and Yejin Choi. 2020 · 2020
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The curious case of neural text degeneration
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How to ask good questions? try to leverage paraphrases
Xin Jia, Wenjie Zhou, Xu Sun, and Yunfang Wu. 2020 · 2020
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Agent zero: Zero-shot automatic multiple-choice question generation for skill assessments
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Angela Fan, Mike Lewis, and Yann Dauphin. 2018 · 2018
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Dynamic multi-level multi-task learning for sentence simplification
Han Guo, Ramakanth Pasunuru, and Mohit Bansal. 2018 · 2018
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A deep generative framework for paraphrase generation
Ankush Gupta, Arvind Agarwal, Prawaan Singh, and Piyush Rai. 2018 · 2018
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ParaNMT-50M: Pushing the limits of paraphrastic sentence embeddings with millions of machine translations
John Wieting and Kevin Gimpel. 2018 · 2018
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A broad-coverage challenge corpus for sentence understanding through inference
Adina Williams, Nikita Nangia, and Samuel R. Bowman. 2018 · 2018
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Rowan Zellers, Yonatan Bisk, Roy Schwartz, and Yejin Choi. 2018 · 2018
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Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
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Eric Li, Jingyi Su, Hao Sheng, and Lawrence Wai. 2020 · 2020
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Unsupervised paraphrase generation via dynamic blocking
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Exploring the limits of transfer learning with a unified text-to-text transformer
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Thibault Sellam, Dipanjan Das, and Ankur P. Parikh. 2020 · 2020
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Neural machine translation for paraphrase generation
Alex Sokolov and Denis Filimonov. 2020 · 2020
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Brian Thompson and Matt Post. 2020 · 2020
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Superglue: A stickier benchmark for general-purpose language understanding systems
Alex Wang, Yada Pruksachatkun, Nikita Nangia, Amanpreet Singh, Julian Michael, Felix Hill, Omer Levy, and Samuel R. Bowman. 2020 · 2020
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Tianyi Zhang, Varsha Kishore, Felix Wu, Kilian Q. Weinberger, and Yoav Artzi. 2020 · 2020
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Transformer-based language model fine-tuning methods for covid-19 fake news detection
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Mutual implication as a measure of textual equivalence
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